PT - JOURNAL ARTICLE AU - Mai, Aly AU - Meshref, Taghreed S. AU - Abdelhameid, Marwa A. AU - Ahmed, Shimaa A. AU - Shaltout, Asmaa S. AU - Eldin Abdel-Moniem, Alaa AU - Hamad, Dina A. TI - LSC - 2021 - Can Hematological Ratios Predict Outcome of COVID-19 Patients? Egyptian Multicentric Study AID - 10.1183/13993003.congress-2021.PA3770 DP - 2021 Sep 05 TA - European Respiratory Journal PG - PA3770 VI - 58 IP - suppl 65 4099 - http://erj.ersjournals.com/content/58/suppl_65/PA3770.short 4100 - http://erj.ersjournals.com/content/58/suppl_65/PA3770.full SO - Eur Respir J2021 Sep 05; 58 AB - Coronaviruses belong to a large family of viruses that lead to respiratory infection of various severity. Hematological ratios are indicators of the inflammatory response that are widely used in viral pneumonia with affordability in developing countries.Aim: Study the role of the Neutrophil Lymphocyte ratio(NLR), derived NLR ratio(d-NLR), Platelet Lymphocyte ratio(PL/LR), and Lymphocyte Monocyte ratio(LMR) in predicting the outcome of COVID-19 Egyptian patients.Methods: A retrospective study on 496 COVID-19 Egyptian patients, managed in four tertiary centers; grouped into non-severe, severe, and critical.Results: Critical group of patients had the highest Total leucocyte count(TLC), absolute neutrophil count(ANC), absolute monocyte count(AMC), NLR, d-NLR and, PL/LR (p We calculated the optimal cut-off values of the hematological ratio; NLR(3.5), d-NLR(2.86), PL/LR(192), and LMR(3). D-NLR had the highest specificity(89.2%) while NLR had the highest sensitivity(71.4%). By univariate logistic regression; age, DM, HTN, cardiovascular diseases, COPD, NLR, d-NLR, LMR and PL/LR, CRP, steroid, oxygen aids, and mechanical ventilation were associated with severity of COVID-19 but only age, NLR, CRP, and oxygen aid were independent predictors in multivariate logistic regression.Conclusion: NLR is a predictor for severity in COVID-19. LMR, d-NLR, and PL/LR may assist in risk stratification.FootnotesCite this article as: European Respiratory Journal 2021; 58: Suppl. 65, PA3770.This abstract was presented at the 2021 ERS International Congress, in session “Prediction of exacerbations in patients with COPD”.This is an ERS International Congress abstract. No full-text version is available. Further material to accompany this abstract may be available at www.ers-education.org (ERS member access only).